This paper presents and analyzes Reinforcement Learning (RL) based approaches to solve
spacecraft control problems. Different application fields are considered, eg, guidance …

Recent applications of autonomous agents and robots have brought attention to crucial trust-
related challenges associated with the current generation of artificial intelligence (AI) …

This research paper navigates the transformative landscape of Security Operations Centers
(SOCs), focusing on the integration of AI-driven automation. The evolution of traditional …

This chapter embarks on a comprehensive exploration of the dynamic landscape of AI-
driven modeling, tracing the journey from conceptualization to practical implementation. The …

Simulation tools play crucial roles in the stable implementation of space missions during
satellite operations; they are typically utilized for satellite behaviour monitoring by comparing …

Artificial neural network (ANN)-based methods belong to one of the most growing research
fields within the artificial intelligence ecosystem, and many novel contributions have been …

In recent years, one of the highest challenges in the field of artificial intelligence has been
the creation of systems capable of learning how to play classic games. This paper presents …

During the satellite's operations, simulation tools perform an important role in ensuring the
space mission success. In this sense, the models implemented in the context of an …

The growing numbers, complexity, and data return of space missions are driving a need for
automated fault detection and diagnosis. Traditional fault monitoring techniques possess …

The following chapter gives an overview on modern techniques for guidance, navigation,
and control (GNC). In particular, an overview of artificial intelligence (AI) techniques is …